Top companies trust Airbyte to centralize their Data
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Airbyte Open Source
Airbyte Cloud
Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.
Ready to get started?
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
FastBill is a Germany-based accounting software provider that wants to bring order to your invoices and receipts and thus improve your business. FastBill is one of the leading online platforms that provides easy invoicing and financial management for small businesses in Germany. It provides simplified, smart and beautiful accounting solution for small and medium businesses. You can easily scan the go and upload your FastBill account your documents through FastBill.
Teradata is a multi-cloud data platform for enterprise analytics companies that provides solutions for business challenges from beginning to end. With Teradata, you have the ability to manage large and varied data workloads now and in the future. The company offers data platforms, applications, and services for data warehousing and analytics.
Fastbill's API provides access to a wide range of data related to billing, invoicing, and accounting. The following are the categories of data that can be accessed through Fastbill's API:
1. Invoices: This includes data related to invoices such as invoice number, date, due date, amount, and status.
2. Customers: This includes data related to customers such as name, address, email, and phone number.
3. Products and Services: This includes data related to products and services such as name, description, price, and tax rate.
4. Payments: This includes data related to payments such as payment date, amount, and payment method.
5. Subscriptions: This includes data related to subscriptions such as subscription plan, start date, end date, and renewal date.
6. Time Tracking: This includes data related to time tracking such as time entries, project name, and billable hours.
7. Reports: This includes data related to reports such as revenue, expenses, and profit and loss.
Overall, Fastbill's API provides comprehensive access to data related to billing, invoicing, and accounting, making it a valuable tool for businesses looking to streamline their financial processes.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
